The monitoring of human activity and vital signs plays a significant role in remote health-
care. Radar provides a non-contact monitoring approach without privacy and illumination …

Human Activity Recognition (HAR) is becoming increasingly important in smart homes and
healthcare applications such as assisted-living and remote health monitoring. In this paper …

Owing to increasing connected medical devices and rapid development of deep learning
technologies, the Internet of Medical Things (IoMT) has attracted great attention for …

Radar-based personal identification and fall detection have received considerable attention
in smart healthcare scenarios. Deep learning algorithms have been introduced to improve …

Vital signs monitoring in physical activity (PA) is of great significance in daily healthcare.
Impulse Radio Ultra-WideBand (IR-UWB) radar provides a contactless vital signs detection …

Almost all existing methods for human activity classification based on micro-Doppler radar
first manually convert the raw radar signal into a spectrogram using a short time Fourier …

In the context of assisted living, human activity recognition (HAR) is of increased importance
to maintain people at home living independently longer. Compared with directly using …

Radar for indoor monitoring is an emerging area of research and development, covering
and supporting different health and wellbeing applications of smart homes, assisted living …

This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …

Recent advancements in the Internet of Medical Things (IoMT) have revolutionized the
healthcare sector, making it an active research area in the academic and industrial sectors …